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Insurance Data Engineer Jobs in Florida (NOW HIRING)

Principal, Data Engineer

Tallahassee, FL ยท On-site +1

$153K - $284K/yr

Job Title: Principal, Data Engineer Job Code: 41066 Job Location: Melbourne, FL; or Remote ... L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match ...

Principal, Data Engineer

Melbourne, FL ยท On-site +1

$153K - $284K/yr

Job Title: Principal, Data Engineer Job Code: 41066 Job Location: Melbourne, FL; or Remote ... L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match ...

Senior Data Engineer

Fort Lauderdale, FL ยท On-site

$110K - $165K/yr

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and ... plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if ...

Data Layer Engineer

Doral, FL ยท On-site

$105K - $127K/yr

Yes Position Summary Base-2 Solutions is seeking a Data Layer Engineer to support USSOUTHCOM J26 ... insurance up to $200,000. Retirement * 401(k) with immediate vesting: 4% company match plus a 4% ...

Showing results 41-60

Insurance Data Engineer information

What is an insurance data engineer?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an insurance data engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

How does an insurance data engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

What are popular job titles related to Insurance Data Engineer jobs in Florida?

For Insurance Data Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Florida look for?

The top searched job categories for Insurance Data Engineer jobs in Florida are:

What cities in Florida are hiring for Insurance Data Engineer jobs?

Cities in Florida with the most Insurance Data Engineer job openings:

Infographic showing various Insurance Data Engineer job openings in Florida as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal, Data Engineer

Tallahassee, FL โ€ข On-site, Remote

$153K - $284K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago


Job description

Job Title:ย Principal, Data Engineerย 

Job Code:ย 41066

Job Location:ย Melbourne, FL; or Remote Opportunityย 

Job Schedule:ย 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Architect with experience in managing enterprise-level data life cycle processes. This individual will play a critical role in shaping our data architecture, ensuring the integrity, scalability, and efficiency of our systems. This includes overseeing data ETL/ELT pipelines, ensuring adherence to data and architectural standards, maintaining data frameworks, and ensuring data consolidation in our ontology or semantic layer. The selected individual will partner closely with development teams to design, review, and implement high quality data solutions within Palantir Foundry.

This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company's data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor's Degree and minimum 12 years prior Palantir experience or Graduate Degree and a minimum of 10 years of prior Palantir experience In lieu of degree, minimum 16 years of prior Palantir experience
  • 5+ years of experience as a data architect or in a senior data engineering role, ideally supporting enterprise-scale data and analytics platforms
  • 4+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
  • 5+ Years of overall Data Integration experience in Palantir Foundry or similar data integration tools

Preferred Additional Skills:

  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQLย 
  • Experience architectingย Palantir Foundry platformsย to enableย Generative AIย capabilities, including Retrieval-Augmented Generation (RAG),ย semanticย search, and LLM integrationย 
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analystย ย 
  • Demonstrated understanding of how Foundry's Ontology, operational workflows, and governed data assets enable AI-driven business and manufacturing solutions
  • Familiarity with SDLC processes and architecture review or data governance board processes
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $153,000-$284,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $133,000-$247,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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